Pia Mäkelä

155 papers receiving 4.3k citations

Peers

Pia Mäkelä
Comparison fields: 5 of 141
  • Health 513
  • Epidemiology 1.8k
  • Tourism, Leisure and Hospitality Management 78
  • Pathology and Forensic Medicine 734
  • General Health Professions 755
Replace Christina D. Economos with:
Christina D. Economos United States
João Breda Denmark
Ritva Prättälä Finland
Peter Howat Australia
Susan J. Bondy Canada
Ronette Briefel United States
Thomas P. McCoy United States
Barrie Margetts United Kingdom
Sangita Sharma Canada
Carmen Pérez‐Rodrigo Spain
Pia Mäkelä relative to Christina D. Economos United States Christina D. Economos's profile →
Citations per field
00.5×8.6×
Christina D. Economos · 1×
Citations per year

Countries citing papers authored by Pia Mäkelä

Since Specialization
Citations

This map shows the geographic impact of Pia Mäkelä's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pia Mäkelä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Mäkelä more than expected).

Fields of papers citing papers by Pia Mäkelä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pia Mäkelä. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pia Mäkelä. The network helps show where Pia Mäkelä may publish in the future.

Co-authors

The 25 scholars most cited alongside Pia Mäkelä, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pia Mäkelä Line = papers co-authored together Pia Mäkelä links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994225
2
Overweight, gender and knee osteoarthritis.
1996183
3 2006175
4 2008163
5 2015152
6 1999128
7 2001128
8 2008125
9 1997111
10 2009110
11 2017105
12 2009105
13 200395
14
Alcohol Consumption and the Physical Availability of Take-Away Alcohol: Systematic Reviews and Meta-Analyses of the Days and Hours of Sale and Outlet Density.
201890
15 199875
16 201474
17 200773
18 200167
19 201263
20
Alcohol: equity and social determinants.
200962

About Pia Mäkelä

Pia Mäkelä is a scholar working on Epidemiology, Pathology and Forensic Medicine, Education, Physiology and Public Health, Environmental and Occupational Health, having authored 169 papers that have together received 4.6k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (78 papers), Alcohol Consumption and Health Effects (29 papers), Research in Social Sciences (13 papers), Health disparities and outcomes (9 papers), Wine Industry and Tourism (6 papers), Employment and Welfare Studies (6 papers), Smoking Behavior and Cessation (5 papers) and Physical Activity and Health (5 papers). The work is most often cited by research in Health (513 citations), Epidemiology (1.8k citations), Tourism, Leisure and Hospitality Management (78 citations), Pathology and Forensic Medicine (734 citations) and General Health Professions (755 citations). Pia Mäkelä has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Pekka Martikainen, Kimmo Herttua, Tapio Paljärvi, Tapani Valkonen, Esa Österberg, Hannu Korkeala, Robin Room, Kari Poikolainen, Heli Mustonen and Kim Bloomfield. Their work appears in journals such as Addiction, Drug and Alcohol Review, Alcohol and Alcoholism, Addiction Research & Theory and Journal of Studies on Alcohol and Drugs.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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